セミナー 2024年

seminar2024

Machine learning the Higgs-top CP measurement at the LHC

  • SPEAKER Rahool Kumar, IPMU
  • PLACE Hybrid On-site: Kenkyu Honkan Seminar room 321, 322 Online: Zoom
The conventional approach to LHC analysis involves comparing the measured data to Monte Carlo simulations. These simulations start at the hard-scattering level, where the potential for new physics is maximal, and proceed through various stages, including showering, hadronization, and detector response. Unfortunately, each stage introduces complexities, resulting in a convoluted representation of the true underlying physics at the simulated detector level. Events measured at the LHC detector are also somewhat convoluted versions of the true underlying physics due to various latent effects. Eliminating these convolutions is essential for a direct comparison between theoretical predictions and measured data, which can be achieved through the process of ‘Unfolding’, where measured events are directly mapped to the hard-scattering level.


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